Comparison of Multiscale Imaging Methods for Brain Research Article Swipe
Jessica Tröger
,
Christian Hoischen
,
Birgit Perner
,
Shamci Monajembashi
,
Aurélien Barbotin
,
Anna Löschberger
,
Christian Eggeling
,
Michael M. Kessels
,
Britta Qualmann
,
Peter Hemmerich
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.3390/cells9061377
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.3390/cells9061377
A major challenge in neuroscience is how to study structural alterations in the brain. Even small changes in synaptic composition could have severe outcomes for body functions. Many neuropathological diseases are attributable to disorganization of particular synaptic proteins. Yet, to detect and comprehensively describe and evaluate such often rather subtle deviations from the normal physiological status in a detailed and quantitative manner is very challenging. Here, we have compared side-by-side several commercially available light microscopes for their suitability in visualizing synaptic components in larger parts of the brain at low resolution, at extended resolution as well as at super-resolution. Microscopic technologies included stereo, widefield, deconvolution, confocal, and super-resolution set-ups. We also analyzed the impact of adaptive optics, a motorized objective correction collar and CUDA graphics card technology on imaging quality and acquisition speed. Our observations evaluate a basic set of techniques, which allow for multi-color brain imaging from centimeter to nanometer scales. The comparative multi-modal strategy we established can be used as a guide for researchers to select the most appropriate light microscopy method in addressing specific questions in brain research, and we also give insights into recent developments such as optical aberration corrections.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/cells9061377
- https://www.mdpi.com/2073-4409/9/6/1377/pdf?version=1591959104
- OA Status
- gold
- Cited By
- 15
- References
- 85
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3030973966
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3030973966Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/cells9061377Digital Object Identifier
- Title
-
Comparison of Multiscale Imaging Methods for Brain ResearchWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-06-01Full publication date if available
- Authors
-
Jessica Tröger, Christian Hoischen, Birgit Perner, Shamci Monajembashi, Aurélien Barbotin, Anna Löschberger, Christian Eggeling, Michael M. Kessels, Britta Qualmann, Peter HemmerichList of authors in order
- Landing page
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https://doi.org/10.3390/cells9061377Publisher landing page
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https://www.mdpi.com/2073-4409/9/6/1377/pdf?version=1591959104Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
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-
goldOpen access status per OpenAlex
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-
https://www.mdpi.com/2073-4409/9/6/1377/pdf?version=1591959104Direct OA link when available
- Concepts
-
Computer science, Deconvolution, Set (abstract data type), Neuroimaging, Artificial intelligence, Neuroscience, Computer vision, Biology, Programming language, AlgorithmTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
15Total citation count in OpenAlex
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2025: 1, 2024: 1, 2023: 2, 2022: 6, 2021: 5Per-year citation counts (last 5 years)
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85Number of works referenced by this work
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-
10Other works algorithmically related by OpenAlex
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